Bangalore, Karnataka, India
Pharmaceuticals
Full-Time
PepsiCo
Overview
Overview
AI Automation Engineer to design, develop, and implement intelligent automation solutions. This role involves leveraging AI, machine learning, and automation tools to streamline workflows, optimize business processes, and enhance operational efficiency. You will work closely with cross-functional teams to integrate AI-powered automation into enterprise systems.
Responsibilities
AI Automation Engineer to design, develop, and implement intelligent automation solutions. This role involves leveraging AI, machine learning, and automation tools to streamline workflows, optimize business processes, and enhance operational efficiency. You will work closely with cross-functional teams to integrate AI-powered automation into enterprise systems.
Responsibilities
- Design and develop AI-driven automation solutions to optimize workflows and business operations.
- Implement machine learning models and AI algorithms to enhance process automation.
- Develop and maintain automation scripts, bots, and AI-based workflows.
- Integrate AI automation with existing systems, APIs, and databases.
- Utilize RPA (Robotic Process Automation) tools such as UiPath, Automation Anywhere, or Blue Prism.
- Work with cloud-based AI services (AWS AI/ML, Google AI, Azure AI) to deploy scalable automation solutions.
- Monitor automation performance, troubleshoot issues, and optimize efficiency.
- Ensure automation security, compliance, and governance best practices.
- Stay updated with advancements in AI, ML, and automation technologies.
- 9+ years of experience with 6+ years of experience in AI, automation, or RPA development.
- Strong programming skills in Python, Java, or JavaScript.
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Expertise in RPA tools (UiPath, Automation Anywhere, Blue Prism).
- Experience with workflow automation tools (Apache Airflow, Zapier, Power Automate).
- Proficiency in RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure).
- Knowledge of database technologies (SQL, NoSQL) for AI-driven automation.
- Strong understanding of DevOps, MLOps, and CI/CD pipelines.
- Experience with AI chatbots and virtual assistants (Dialogflow, Rasa, OpenAI GPT).
- Exposure to computer vision and NLP for intelligent automation.
- Knowledge of vector databases for AI-powered search.
- Familiarity with enterprise automation tools (ServiceNow, Workato, Alteryx).
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